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- Tasks: Lead AI strategy and manage a team of data scientists to deliver innovative AI solutions.
- Company: Dynamic recruitment agency in London focused on advanced analytics.
- Benefits: Competitive salary, comprehensive benefits package, and hybrid work model.
- Why this job: Join a cutting-edge team and drive impactful AI initiatives in a thriving industry.
- Qualifications: Expertise in Generative AI, Large Language Models, and machine learning techniques.
The predicted salary is between 85000 - 100000 £ per year.
A recruitment agency is seeking an experienced AI Engineer - Lead in London. In this role, you will drive advanced analytics initiatives and manage a team of data scientists to deliver impactful AI solutions.
The ideal candidate has expertise in Generative AI, Large Language Models, and a strong understanding of machine learning techniques.
This position offers a competitive salary between £85,000 and £100,000 along with a comprehensive benefits package, making it an exciting opportunity for professionals in the AI space.
Lead AI Engineer - Hybrid: Drive AI Strategy & ML Teams in City of London employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer - Hybrid: Drive AI Strategy & ML Teams in City of London
✨Tip Number 1
Network like a pro! Connect with professionals in the AI field on LinkedIn and attend industry meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects in Generative AI and Large Language Models. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to machine learning techniques and be ready to discuss your past experiences leading teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Lead AI Engineer - Hybrid: Drive AI Strategy & ML Teams in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Generative AI and Large Language Models. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can drive our analytics initiatives. Let us know what excites you about leading a team of data scientists.
Showcase Your Leadership Skills: As a Lead AI Engineer, we’re looking for someone who can manage and inspire a team. Highlight any previous leadership roles or experiences where you’ve successfully guided a project or team towards success.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in the AI space!
How to prepare for a job interview at Michael Page
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI and Large Language Models. Be ready to discuss specific projects you've worked on and how you've applied machine learning techniques in real-world scenarios. This will show that you're not just familiar with the concepts, but that you can also implement them effectively.
✨Showcase Your Leadership Skills
Since this role involves managing a team of data scientists, be prepared to talk about your leadership style. Share examples of how you've successfully led teams in the past, tackled challenges, and fostered collaboration. Highlighting your ability to drive AI strategy will set you apart from other candidates.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on key machine learning algorithms and be ready to explain their applications. You might even be asked to solve a problem on the spot, so practice articulating your thought process clearly and confidently.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company's current AI initiatives, team dynamics, or future projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
